Sökning: "Workload deployment"
Visar resultat 1 - 5 av 16 uppsatser innehållade orden Workload deployment.
1. Implementing End-to-End MLOps for Enhanced Steel Production
M1-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Sammanfattning : Steel production companies must utilize new technologies and innovations to stay ahead of a highly competitive market. Recently, there has been a focus on Industry 4.0, which involves the digitalization of production to integrate with newer technologies such as cloud solutions and the Internet of Things (IoT). LÄS MER
2. Data-Driven Decision-Making In Small Organizations : A qualitative study in optimizing BI deployment in Vasaloppet
Kandidat-uppsats, Karlstads universitet/Handelshögskolan (from 2013)Sammanfattning : Organizations are social systems established to make decisions. Modern organizational decision-making is complex and can easily overwhelm the capacity of individuals. Because of the complexity of multi-person decisions, there is a big risk for uncertainty in decision-making. LÄS MER
3. Mitigating serverless cold starts through predicting computational resource demand : Predicting function invocations based on real-time user navigation
Kandidat-uppsats, Jönköping University/JTH, Avdelningen för datateknik och informatikSammanfattning : Serverless functions have emerged as a prominent paradigm in software deployment, providing automated resource scaling, resulting in demand-based operational expenses. One of the most significant challenges associated with serverless functionsis the cold start delay, preventing organisations with latency-critical web applications from adopting a serverless technology. LÄS MER
4. ElektroCHAT: A Knowledge Base-Driven Dialogue System for Electrical Engineering Students : A Proposal for Interactive Tutoring
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Universities worldwide face challenges both with students dropping out of educational programmes and repetitive questions directed toward teaching staff which both consume resources and result in delays. Recent progress in natural language processing (NLP) introduces the possibility of more sophisticated dialogue systems that could help alleviate the situation. LÄS MER
5. A performance study for autoscaling big data analytics containerized applications : Scalability of Apache Spark on Kubernetes
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Container technologies are rapidly changing how distributed applications are executed and managed on cloud computing resources. As containers can be deployed on a large scale, there is a tremendous need for Container Orchestration tools like Kubernetes that are highly automatic in deployment, scaling, and management. LÄS MER